MACHINE LEARNING WITH PYTHON

About the program Machine Learning with Python Internship is designed to provide students with practical exposure to Artificial Intelligence and Data Science concepts using Python programming. Interns will learn data preprocessing, exploratory data analysis, supervised and unsupervised learning techniques, model building, evaluation, and deployment fundamentals. Participants will work on real world datasets and develop projects involving classification, regression, clustering, recommendation systems, and predictive analytics. The internship aims to enhance problem solving abilities, analytical thinking, and programming skills while introducing industry standard tools and libraries such as NumPy, Pandas, Matplotlib, Scikit Learn, and TensorFlow. By the end of the internship, students will be able to build machine learning models, interpret results, and apply AI techniques to solve business and engineering problems. Perks Certificate of Completion Letter of Recommendation for Top Performers Hands On Project Experience Industry Mentor Support Flexible Working Hours Career Guidance Sessions Who can apply? Only those candidates can apply who: are from Any and specialisation from Any are available for duration of 2 Months have relevant skills and interests Terms of Engagement Interns are required to complete assigned tasks and project milestones within the specified timeline. A minimum attendance and active participation level must be maintained throughout the internship. Weekly progress reports and project submissions are mandatory. The internship certificate will be issued only upon successful completion of all assigned activities and final project evaluation. Interns must adhere to organizational policies and maintain confidentiality of project related information. Number of openings 10